Metrics.
We adopt metrics used in other works: PSNR, SSIM[1]} and LPIPS[2]}.
PSNR and SSIM are the most common metrics used for assessing image quality, but they do not fully capture the perceptual quality of the image and favor blurriness.
We mainly target the LPIPS metric, which is a learned metric in the CNN feature space and is optimized for high correlation with human judgement of perceptual details in images.
The LPIPS metric was also found to correlate well for human evaluation of videos[3]}.
